Re: [WM]: noise supprssion schemes for spread-spectrumwatermarking

["Junmei Zhong" <Junmei.Zhong@cchmc.org>]

For efficient noise suppression, we need to first know the statistics of noise, for example, Gaussian noise. The challenge of noise
reduction is how to preserve edges in the signals when reducing noise.  In the literature, there are many papers published,
especially about wavelet-based denoising, anisotropic diffusion, and level set methods.
Since wavelet transform based watermarking is a very efficient way, I think the wavelet-based denoising will be a good choice.  You
can do wavelet-based noise suppression and watermarking simultaneously.
 
Also, if nosie level is not very high, you can consider to use the anisotropic diffusion techniques, which is very effiicent to
preserve edges when reducing noise.
 
I hope this is helpful for your research.
 
 
Junmei Zhong Ph.D.
 
Assistant Professor
Imaging Research Center
Cincinnati Children's Hospital Medical Center
3333 Burnet Ave, ML 5031
Cincinnati, OH 45229
Tel:513-636-9772
Email:junmei.zhong@cchmc.org


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